Responsibilities
- Responsible for alignment and understanding of project requirements for data management.
- Responsible for maintenance and extension of the conceptual and logical data models, including the party data model and the corresponding domain models supporting customer activities.
- Responsible for establishing patterns for the integration of data from multiple source systems for consolidated views such as the customer 360.
- Responsible for establishing data flow patterns in alignment with Command Query Responsibility Segregation (CQRS) supporting events, persistence and distribution.
- Responsible for establishing persistence data stores for reliable system interfaces supporting microservices and miniservice capable of high performant data transfers.
- Responsible for refining datasets based on data rationalization framework to iteratively refine and integrate them based on use cases to facilitate the migration of business processes to the event hub.
- Responsible for refining reproducible integration, performance and growth patterns to support continued development of the data hub.
- Responsible for organizing, structuring and storing data in sustainable method that improves usability, data accuracy and definition.
- Responsible for establishing efficient data retrieval mechanisms and facilitation of self-service with reporting, analytics and data science
Qualifications
Bachelor's Degree in Computer Science, Management Information Systems, Business Administration, Mathematics, or equivalent computer-related degree from an accredited United States college or university required. Other qualifications will be provided by the individual management team.
Key Responsibilities
- Infrastructure & Networking
- Automation & CI/CD
- Security & Operations
Required Technical Skills
- Design secure, scalable AWS environments using Multi-Account architectures.
- Configure advanced AWS networking including VPCs, Transit Gateways, and Route53.
- Establish secure connectivity via AWS Direct Connect and VPNs.
- Implement strict Network Access Control Lists (NACLs) and Security Groups.
- Migration of on-premises systems to AWS cloud services.
- Perform regular updates and upgrades to AWS resources and services
- Deploy and manage Databricks workspaces across multiple AWS environments.
- Optimize Databricks clusters for performance, scalability, and cost.
- Integrate Databricks with AWS data stores like S3, RDS.
- Implement Unity Catalog for robust data governance and access control.
- Write clean, reusable, and modular infrastructure code using Terraform.
- Manage infrastructure state files securely in remote backends.
- Design and maintain CI/CD pipelines using Jenkins for automated testing.
- Automate the deployment of both AWS resources and Databricks assets.
- Implement IAM roles and policies following the principle of least privilege.
- Monitor system health and performance using AWS CloudWatch and Prometheus.
- Set up automated alerts for infrastructure anomalies and cost spikes.
- Troubleshoot complex networking, deployment, and data pipeline failures.
- Cloud Platform : Advanced expertise in Amazon Web Services (AWS).
- Data Tools : Hands‑on administration of Databricks (Workspaces, Clusters, Unity Catalog).
- Infrastructure as Code : Expert‑level proficiency with Terraform.
- CI/CD : Deep experience building and managing Jenkins pipelines.
- Networking : Strong mastery of TCP/IP, DNS, VPC peering, and routing tables.